{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# <center>服务器日志数据分析</center>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1、将数据导⼊入pandas中，加上列列名"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>162542</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1057.31</td>\n",
       "      <td>88.75</td>\n",
       "      <td>177.72</td>\n",
       "      <td>132.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:00:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>162644</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>749.12</td>\n",
       "      <td>103.79</td>\n",
       "      <td>240.38</td>\n",
       "      <td>149.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:01:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>162742</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>845.84</td>\n",
       "      <td>136.31</td>\n",
       "      <td>225.73</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:02:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>162808</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1305.52</td>\n",
       "      <td>90.12</td>\n",
       "      <td>196.61</td>\n",
       "      <td>145.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:03:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>162943</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>568.89</td>\n",
       "      <td>138.45</td>\n",
       "      <td>232.02</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:04:07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       id                     api  count  res_time_sum  res_time_min  \\\n",
       "0  162542  /front-api/bill/create      8       1057.31         88.75   \n",
       "1  162644  /front-api/bill/create      5        749.12        103.79   \n",
       "2  162742  /front-api/bill/create      5        845.84        136.31   \n",
       "3  162808  /front-api/bill/create      9       1305.52         90.12   \n",
       "4  162943  /front-api/bill/create      3        568.89        138.45   \n",
       "\n",
       "   res_time_max  res_time_avg  interval           created_at  \n",
       "0        177.72         132.0        60  2017-11-01 00:00:07  \n",
       "1        240.38         149.0        60  2017-11-01 00:01:07  \n",
       "2        225.73         169.0        60  2017-11-01 00:02:07  \n",
       "3        196.61         145.0        60  2017-11-01 00:03:07  \n",
       "4        232.02         189.0        60  2017-11-01 00:04:07  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_table('log.txt', header=None, names=['id', 'api', 'count', 'res_time_sum', 'res_time_min', 'res_time_max', 'res_time_avg', 'interval', 'created_at'])\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2、检测是否有重复值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.duplicated().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：无重复值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3、检测是否有异常值"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.794960e+05</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.000000</td>\n",
       "      <td>179496.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>6.866490e+06</td>\n",
       "      <td>7.175909</td>\n",
       "      <td>1393.177370</td>\n",
       "      <td>108.419620</td>\n",
       "      <td>359.880351</td>\n",
       "      <td>187.812208</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.686579e+06</td>\n",
       "      <td>4.325160</td>\n",
       "      <td>1499.485881</td>\n",
       "      <td>79.640559</td>\n",
       "      <td>638.919769</td>\n",
       "      <td>224.464813</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.625420e+05</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>36.550000</td>\n",
       "      <td>3.210000</td>\n",
       "      <td>36.550000</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.825183e+06</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>607.707500</td>\n",
       "      <td>83.410000</td>\n",
       "      <td>198.280000</td>\n",
       "      <td>144.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>6.811432e+06</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>1154.905000</td>\n",
       "      <td>97.120000</td>\n",
       "      <td>256.090000</td>\n",
       "      <td>167.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>9.981397e+06</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>1834.117500</td>\n",
       "      <td>116.990000</td>\n",
       "      <td>374.410000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.343909e+07</td>\n",
       "      <td>31.000000</td>\n",
       "      <td>142650.550000</td>\n",
       "      <td>18896.640000</td>\n",
       "      <td>142468.270000</td>\n",
       "      <td>71325.000000</td>\n",
       "      <td>60.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 id          count   res_time_sum   res_time_min  \\\n",
       "count  1.794960e+05  179496.000000  179496.000000  179496.000000   \n",
       "mean   6.866490e+06       7.175909    1393.177370     108.419620   \n",
       "std    3.686579e+06       4.325160    1499.485881      79.640559   \n",
       "min    1.625420e+05       1.000000      36.550000       3.210000   \n",
       "25%    3.825183e+06       4.000000     607.707500      83.410000   \n",
       "50%    6.811432e+06       7.000000    1154.905000      97.120000   \n",
       "75%    9.981397e+06      10.000000    1834.117500     116.990000   \n",
       "max    1.343909e+07      31.000000  142650.550000   18896.640000   \n",
       "\n",
       "        res_time_max   res_time_avg  interval  \n",
       "count  179496.000000  179496.000000  179496.0  \n",
       "mean      359.880351     187.812208      60.0  \n",
       "std       638.919769     224.464813       0.0  \n",
       "min        36.550000      36.000000      60.0  \n",
       "25%       198.280000     144.000000      60.0  \n",
       "50%       256.090000     167.000000      60.0  \n",
       "75%       374.410000     202.000000      60.0  \n",
       "max    142468.270000   71325.000000      60.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(20, 12))\n",
    "data[['res_time_sum', 'res_time_min', 'res_time_max', 'res_time_avg']].boxplot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：从上面表格和箱线图来看，res_time_sum、res_time_min、res_time_max、res_time_avg这四个存在异常值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4、分析api和interval这两列的数据是否对分析有用，如果⽆⽤，说明为什么要将这两列丢弃"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data['api']!='/front-api/bill/create'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "表明所有数据的 api 都是 /front-api/bill/create "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(data[data['interval']!=60])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "表明所有数据的 interval 都是 60"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：因为整个数据集中这两列的数据都相同，且和其他列无关联，所以无用，可以丢弃。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. 使用created_at这⼀列的数据作为时间索引"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 这里不能使用set_index，使用set_index后index是str对象，而不是timestamp，后面画图时无法显示x轴的标注\n",
    "s = pd.to_datetime(data.created_at) \n",
    "s.head()\n",
    "data.index = s"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 上面这一步至关重要！！！"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:00:07</th>\n",
       "      <td>162542</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>8</td>\n",
       "      <td>1057.31</td>\n",
       "      <td>88.75</td>\n",
       "      <td>177.72</td>\n",
       "      <td>132.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:00:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:01:07</th>\n",
       "      <td>162644</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>749.12</td>\n",
       "      <td>103.79</td>\n",
       "      <td>240.38</td>\n",
       "      <td>149.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:01:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:02:07</th>\n",
       "      <td>162742</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>845.84</td>\n",
       "      <td>136.31</td>\n",
       "      <td>225.73</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:02:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:03:07</th>\n",
       "      <td>162808</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1305.52</td>\n",
       "      <td>90.12</td>\n",
       "      <td>196.61</td>\n",
       "      <td>145.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:03:07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-01 00:04:07</th>\n",
       "      <td>162943</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>568.89</td>\n",
       "      <td>138.45</td>\n",
       "      <td>232.02</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2017-11-01 00:04:07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         id                     api  count  res_time_sum  \\\n",
       "created_at                                                                 \n",
       "2017-11-01 00:00:07  162542  /front-api/bill/create      8       1057.31   \n",
       "2017-11-01 00:01:07  162644  /front-api/bill/create      5        749.12   \n",
       "2017-11-01 00:02:07  162742  /front-api/bill/create      5        845.84   \n",
       "2017-11-01 00:03:07  162808  /front-api/bill/create      9       1305.52   \n",
       "2017-11-01 00:04:07  162943  /front-api/bill/create      3        568.89   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2017-11-01 00:00:07         88.75        177.72         132.0        60   \n",
       "2017-11-01 00:01:07        103.79        240.38         149.0        60   \n",
       "2017-11-01 00:02:07        136.31        225.73         169.0        60   \n",
       "2017-11-01 00:03:07         90.12        196.61         145.0        60   \n",
       "2017-11-01 00:04:07        138.45        232.02         189.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2017-11-01 00:00:07  2017-11-01 00:00:07  \n",
       "2017-11-01 00:01:07  2017-11-01 00:01:07  \n",
       "2017-11-01 00:02:07  2017-11-01 00:02:07  \n",
       "2017-11-01 00:03:07  2017-11-01 00:03:07  \n",
       "2017-11-01 00:04:07  2017-11-01 00:04:07  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
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       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-30 23:06:21</th>\n",
       "      <td>13438800</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>11</td>\n",
       "      <td>2783.48</td>\n",
       "      <td>99.24</td>\n",
       "      <td>489.90</td>\n",
       "      <td>253.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:06:21</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-30 23:07:21</th>\n",
       "      <td>13438866</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>10</td>\n",
       "      <td>1951.10</td>\n",
       "      <td>85.37</td>\n",
       "      <td>529.51</td>\n",
       "      <td>195.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:07:21</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-30 23:08:21</th>\n",
       "      <td>13438917</td>\n",
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       "      <td>3</td>\n",
       "      <td>494.17</td>\n",
       "      <td>103.95</td>\n",
       "      <td>211.47</td>\n",
       "      <td>164.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:08:21</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-30 23:09:21</th>\n",
       "      <td>13438981</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>9</td>\n",
       "      <td>1798.28</td>\n",
       "      <td>101.11</td>\n",
       "      <td>433.30</td>\n",
       "      <td>199.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:09:21</td>\n",
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       "      <th>2018-05-30 23:10:21</th>\n",
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       "      <td>6</td>\n",
       "      <td>1017.97</td>\n",
       "      <td>74.45</td>\n",
       "      <td>298.97</td>\n",
       "      <td>169.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-30 23:10:21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-30 23:06:21  13438800  /front-api/bill/create     11       2783.48   \n",
       "2018-05-30 23:07:21  13438866  /front-api/bill/create     10       1951.10   \n",
       "2018-05-30 23:08:21  13438917  /front-api/bill/create      3        494.17   \n",
       "2018-05-30 23:09:21  13438981  /front-api/bill/create      9       1798.28   \n",
       "2018-05-30 23:10:21  13439086  /front-api/bill/create      6       1017.97   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-30 23:06:21         99.24        489.90         253.0        60   \n",
       "2018-05-30 23:07:21         85.37        529.51         195.0        60   \n",
       "2018-05-30 23:08:21        103.95        211.47         164.0        60   \n",
       "2018-05-30 23:09:21        101.11        433.30         199.0        60   \n",
       "2018-05-30 23:10:21         74.45        298.97         169.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-30 23:06:21  2018-05-30 23:06:21  \n",
       "2018-05-30 23:07:21  2018-05-30 23:07:21  \n",
       "2018-05-30 23:08:21  2018-05-30 23:08:21  \n",
       "2018-05-30 23:09:21  2018-05-30 23:09:21  \n",
       "2018-05-30 23:10:21  2018-05-30 23:10:21  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 6. 分析api调用次数情况"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>2018-05-20 00:00:10</th>\n",
       "      <td>12686322</td>\n",
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       "      <td>2018-05-20 00:00:10</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-20 00:01:10</th>\n",
       "      <td>12686411</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>553.82</td>\n",
       "      <td>165.71</td>\n",
       "      <td>219.99</td>\n",
       "      <td>184.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:01:10</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-20 00:02:10</th>\n",
       "      <td>12686488</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>559.27</td>\n",
       "      <td>139.82</td>\n",
       "      <td>259.43</td>\n",
       "      <td>186.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:02:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-20 00:03:10</th>\n",
       "      <td>12686558</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>947.08</td>\n",
       "      <td>119.61</td>\n",
       "      <td>269.42</td>\n",
       "      <td>189.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:03:10</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-20 00:04:10</th>\n",
       "      <td>12686635</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1081.21</td>\n",
       "      <td>138.63</td>\n",
       "      <td>241.77</td>\n",
       "      <td>180.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:04:10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-20 00:00:10  12686322  /front-api/bill/create      5       1136.77   \n",
       "2018-05-20 00:01:10  12686411  /front-api/bill/create      3        553.82   \n",
       "2018-05-20 00:02:10  12686488  /front-api/bill/create      3        559.27   \n",
       "2018-05-20 00:03:10  12686558  /front-api/bill/create      5        947.08   \n",
       "2018-05-20 00:04:10  12686635  /front-api/bill/create      6       1081.21   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-20 00:00:10        150.77        400.61         227.0        60   \n",
       "2018-05-20 00:01:10        165.71        219.99         184.0        60   \n",
       "2018-05-20 00:02:10        139.82        259.43         186.0        60   \n",
       "2018-05-20 00:03:10        119.61        269.42         189.0        60   \n",
       "2018-05-20 00:04:10        138.63        241.77         180.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-20 00:00:10  2018-05-20 00:00:10  \n",
       "2018-05-20 00:01:10  2018-05-20 00:01:10  \n",
       "2018-05-20 00:02:10  2018-05-20 00:02:10  \n",
       "2018-05-20 00:03:10  2018-05-20 00:03:10  \n",
       "2018-05-20 00:04:10  2018-05-20 00:04:10  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = data['2018-05-20 00:00:00' : '2018-05-20 23:59:59']   # 取2018-05-29一天的数据\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>api</th>\n",
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       "      <th>2018-05-20 23:55:11</th>\n",
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       "      <td>5</td>\n",
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       "      <th>2018-05-20 23:56:11</th>\n",
       "      <td>12755902</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>855.73</td>\n",
       "      <td>120.08</td>\n",
       "      <td>194.33</td>\n",
       "      <td>171.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 23:56:11</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-20 23:57:11</th>\n",
       "      <td>12755949</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1227.75</td>\n",
       "      <td>74.60</td>\n",
       "      <td>312.44</td>\n",
       "      <td>204.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 23:57:11</td>\n",
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       "    <tr>\n",
       "      <th>2018-05-20 23:58:11</th>\n",
       "      <td>12756051</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>678.46</td>\n",
       "      <td>86.67</td>\n",
       "      <td>218.59</td>\n",
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       "      <th>2018-05-20 23:59:11</th>\n",
       "      <td>12756118</td>\n",
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       "      <td>6</td>\n",
       "      <td>1284.77</td>\n",
       "      <td>101.39</td>\n",
       "      <td>347.52</td>\n",
       "      <td>214.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 23:59:11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-20 23:55:11  12755831  /front-api/bill/create      5       1249.44   \n",
       "2018-05-20 23:56:11  12755902  /front-api/bill/create      5        855.73   \n",
       "2018-05-20 23:57:11  12755949  /front-api/bill/create      6       1227.75   \n",
       "2018-05-20 23:58:11  12756051  /front-api/bill/create      5        678.46   \n",
       "2018-05-20 23:59:11  12756118  /front-api/bill/create      6       1284.77   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-20 23:55:11        141.59        346.02         249.0        60   \n",
       "2018-05-20 23:56:11        120.08        194.33         171.0        60   \n",
       "2018-05-20 23:57:11         74.60        312.44         204.0        60   \n",
       "2018-05-20 23:58:11         86.67        218.59         135.0        60   \n",
       "2018-05-20 23:59:11        101.39        347.52         214.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-20 23:55:11  2018-05-20 23:55:11  \n",
       "2018-05-20 23:56:11  2018-05-20 23:56:11  \n",
       "2018-05-20 23:57:11  2018-05-20 23:57:11  \n",
       "2018-05-20 23:58:11  2018-05-20 23:58:11  \n",
       "2018-05-20 23:59:11  2018-05-20 23:59:11  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2018-05-20 00:00:10')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 9))\n",
    "df['count'].plot() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：根据上图分析，从凌晨2点到11点访问少，业务高峰在现下午2点到5点、晚上8点到10点"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7、分析⼀天中api响应时间"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "下面这个不知道为什么 plt.figure(figsize=(15, 9)) 设置无效"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1080x648 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 9))           \n",
    "df2 = df[::10]  # 每隔十分钟取一次数据\n",
    "df2[[ 'res_time_min', 'res_time_max','res_time_avg']].plot() \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：在业务⾼峰时间段，最大响应时间和平均响应时间都有所上升"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 8. 分析连续的几天数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-12 00:00:01</th>\n",
       "      <td>12143170</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>13</td>\n",
       "      <td>3340.61</td>\n",
       "      <td>61.82</td>\n",
       "      <td>758.07</td>\n",
       "      <td>256.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-12 00:00:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-12 00:01:01</th>\n",
       "      <td>12143256</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1287.80</td>\n",
       "      <td>124.29</td>\n",
       "      <td>344.26</td>\n",
       "      <td>214.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-12 00:01:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-12 00:02:01</th>\n",
       "      <td>12143360</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>941.29</td>\n",
       "      <td>112.89</td>\n",
       "      <td>367.51</td>\n",
       "      <td>235.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-12 00:02:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-12 00:03:01</th>\n",
       "      <td>12143431</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>1075.60</td>\n",
       "      <td>95.55</td>\n",
       "      <td>389.41</td>\n",
       "      <td>215.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-12 00:03:01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-12 00:04:01</th>\n",
       "      <td>12143511</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>1164.78</td>\n",
       "      <td>134.69</td>\n",
       "      <td>605.19</td>\n",
       "      <td>291.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-12 00:04:01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-12 00:00:01  12143170  /front-api/bill/create     13       3340.61   \n",
       "2018-05-12 00:01:01  12143256  /front-api/bill/create      6       1287.80   \n",
       "2018-05-12 00:02:01  12143360  /front-api/bill/create      4        941.29   \n",
       "2018-05-12 00:03:01  12143431  /front-api/bill/create      5       1075.60   \n",
       "2018-05-12 00:04:01  12143511  /front-api/bill/create      4       1164.78   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-12 00:00:01         61.82        758.07         256.0        60   \n",
       "2018-05-12 00:01:01        124.29        344.26         214.0        60   \n",
       "2018-05-12 00:02:01        112.89        367.51         235.0        60   \n",
       "2018-05-12 00:03:01         95.55        389.41         215.0        60   \n",
       "2018-05-12 00:04:01        134.69        605.19         291.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-12 00:00:01  2018-05-12 00:00:01  \n",
       "2018-05-12 00:01:01  2018-05-12 00:01:01  \n",
       "2018-05-12 00:02:01  2018-05-12 00:02:01  \n",
       "2018-05-12 00:03:01  2018-05-12 00:03:01  \n",
       "2018-05-12 00:04:01  2018-05-12 00:04:01  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3 = data['2018-05-12' : '2018-05-20']   # 取2018-05-29一天的数据，且每隔10分钟取一次数据\n",
    "df3.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15,9))\n",
    "df3['count'].plot()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：每天的业务高峰时段都比较相似"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 9. 分析周末访问量是否有增加"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2018-05-20 00:00:10'"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "time = df.index[0].strftime('%Y-%m-%d %H:%M:%S')\n",
    "time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2018-05-20 00:00:10')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.index[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-20 00:00:10</th>\n",
       "      <td>12686322</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>5</td>\n",
       "      <td>1136.77</td>\n",
       "      <td>150.77</td>\n",
       "      <td>400.61</td>\n",
       "      <td>227.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:00:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-20 00:30:10</th>\n",
       "      <td>12688476</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>4</td>\n",
       "      <td>665.14</td>\n",
       "      <td>123.40</td>\n",
       "      <td>244.76</td>\n",
       "      <td>166.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 00:30:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-20 01:04:10</th>\n",
       "      <td>12690617</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>649.72</td>\n",
       "      <td>106.73</td>\n",
       "      <td>339.61</td>\n",
       "      <td>216.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 01:04:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-20 01:58:10</th>\n",
       "      <td>12693151</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>212.45</td>\n",
       "      <td>212.45</td>\n",
       "      <td>212.45</td>\n",
       "      <td>212.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 01:58:10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-20 10:51:11</th>\n",
       "      <td>12699445</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>213.11</td>\n",
       "      <td>213.11</td>\n",
       "      <td>213.11</td>\n",
       "      <td>213.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-20 10:51:11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-20 00:00:10  12686322  /front-api/bill/create      5       1136.77   \n",
       "2018-05-20 00:30:10  12688476  /front-api/bill/create      4        665.14   \n",
       "2018-05-20 01:04:10  12690617  /front-api/bill/create      3        649.72   \n",
       "2018-05-20 01:58:10  12693151  /front-api/bill/create      1        212.45   \n",
       "2018-05-20 10:51:11  12699445  /front-api/bill/create      1        213.11   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-20 00:00:10        150.77        400.61         227.0        60   \n",
       "2018-05-20 00:30:10        123.40        244.76         166.0        60   \n",
       "2018-05-20 01:04:10        106.73        339.61         216.0        60   \n",
       "2018-05-20 01:58:10        212.45        212.45         212.0        60   \n",
       "2018-05-20 10:51:11        213.11        213.11         213.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-20 00:00:10  2018-05-20 00:00:10  \n",
       "2018-05-20 00:30:10  2018-05-20 00:30:10  \n",
       "2018-05-20 01:04:10  2018-05-20 01:04:10  \n",
       "2018-05-20 01:58:10  2018-05-20 01:58:10  \n",
       "2018-05-20 10:51:11  2018-05-20 10:51:11  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4 = df[::30]    # 隔30分钟取一次数据\n",
    "df4.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "7"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df4.index[0].weekday()+1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面返回7，表示是周日"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>api</th>\n",
       "      <th>count</th>\n",
       "      <th>res_time_sum</th>\n",
       "      <th>res_time_min</th>\n",
       "      <th>res_time_max</th>\n",
       "      <th>res_time_avg</th>\n",
       "      <th>interval</th>\n",
       "      <th>created_at</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2018-05-22 00:00:12</th>\n",
       "      <td>12823343</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>6</td>\n",
       "      <td>1257.16</td>\n",
       "      <td>92.11</td>\n",
       "      <td>289.67</td>\n",
       "      <td>209.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-22 00:00:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-22 00:31:12</th>\n",
       "      <td>12825531</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>3</td>\n",
       "      <td>645.92</td>\n",
       "      <td>189.54</td>\n",
       "      <td>239.19</td>\n",
       "      <td>215.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-22 00:31:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-22 01:03:12</th>\n",
       "      <td>12827356</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>2</td>\n",
       "      <td>421.44</td>\n",
       "      <td>131.02</td>\n",
       "      <td>290.42</td>\n",
       "      <td>210.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-22 01:03:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-22 01:40:12</th>\n",
       "      <td>12829288</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>239.38</td>\n",
       "      <td>239.38</td>\n",
       "      <td>239.38</td>\n",
       "      <td>239.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-22 01:40:12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-05-22 10:38:13</th>\n",
       "      <td>12835864</td>\n",
       "      <td>/front-api/bill/create</td>\n",
       "      <td>1</td>\n",
       "      <td>68.70</td>\n",
       "      <td>68.70</td>\n",
       "      <td>68.70</td>\n",
       "      <td>68.0</td>\n",
       "      <td>60</td>\n",
       "      <td>2018-05-22 10:38:13</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           id                     api  count  res_time_sum  \\\n",
       "created_at                                                                   \n",
       "2018-05-22 00:00:12  12823343  /front-api/bill/create      6       1257.16   \n",
       "2018-05-22 00:31:12  12825531  /front-api/bill/create      3        645.92   \n",
       "2018-05-22 01:03:12  12827356  /front-api/bill/create      2        421.44   \n",
       "2018-05-22 01:40:12  12829288  /front-api/bill/create      1        239.38   \n",
       "2018-05-22 10:38:13  12835864  /front-api/bill/create      1         68.70   \n",
       "\n",
       "                     res_time_min  res_time_max  res_time_avg  interval  \\\n",
       "created_at                                                                \n",
       "2018-05-22 00:00:12         92.11        289.67         209.0        60   \n",
       "2018-05-22 00:31:12        189.54        239.19         215.0        60   \n",
       "2018-05-22 01:03:12        131.02        290.42         210.0        60   \n",
       "2018-05-22 01:40:12        239.38        239.38         239.0        60   \n",
       "2018-05-22 10:38:13         68.70         68.70          68.0        60   \n",
       "\n",
       "                              created_at  \n",
       "created_at                                \n",
       "2018-05-22 00:00:12  2018-05-22 00:00:12  \n",
       "2018-05-22 00:31:12  2018-05-22 00:31:12  \n",
       "2018-05-22 01:03:12  2018-05-22 01:03:12  \n",
       "2018-05-22 01:40:12  2018-05-22 01:40:12  \n",
       "2018-05-22 10:38:13  2018-05-22 10:38:13  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5 = data['2018-05-22 00:00:00' : '2018-05-22 23:59:59' : 30]\n",
    "df5.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df5.index[0].weekday()+1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "上面返回2，表示是周二"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 9))\n",
    "plt.plot(df4.index, df4['count'], label='Sunday')\n",
    "plt.plot(df4.index, df5['count'], label='Tuesday')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 结论：周末的下午和晚上，⽐⾮周末访问量多一些"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
